{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "61489d2a",
   "metadata": {},
   "source": [
    "### 测试读取wav特定通道"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e4c01f9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import librosa\n",
    "import soundfile as sf\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8aabd551",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 读取7通道WAV文件\n",
    "audio_path = \"C:\\\\Users\\\\AL\\\\Desktop\\\\bisai\\\\test\\\\未命名.wav\"\n",
    "y, sr = librosa.load(audio_path, sr=None, mono=False)  # mono=False保留所有通道"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0dc19b6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "成功读取7通道音频，采样率: 48000 Hz\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 检查是否为多通道\n",
    "if y.ndim > 1:\n",
    "    print(f\"成功读取{y.shape[0]}通道音频，采样率: {sr} Hz\")\n",
    "    \n",
    "    # 提取指定通道（例如第3通道，索引为2）\n",
    "    channel_idx = 2  # 通道索引从0开始\n",
    "    channel_data = y[channel_idx]\n",
    "    \n",
    "    # 保存为新的WAV文件\n",
    "    # output_path = f\"channel_{channel_idx+1}.wav\"\n",
    "    # sf.write(output_path, channel_data, sr)\n",
    "    \n",
    "    # 可视化（可选）\n",
    "    plt.figure(figsize=(10, 4))\n",
    "    plt.plot(np.arange(len(channel_data)) / sr, channel_data)\n",
    "    plt.title(f\"{channel_idx+1}\")\n",
    "    plt.xlabel(\"(s)\")\n",
    "    plt.ylabel(\"A\")\n",
    "    plt.grid(True)\n",
    "    plt.show()\n",
    "else:\n",
    "    print(\"错误：读取的不是多通道音频文件。\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "28aa6837",
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'Algorithm'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_16636\\2124665353.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlib_path\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      7\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 8\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mAlgorithm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mGCC\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mgcc\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'Algorithm'"
     ]
    }
   ],
   "source": [
    "import sys \n",
    "import os\n",
    "\n",
    "dir_path = os.path.dirname(os.getcwd())\n",
    "lib_path = os.path.join(dir_path, 'Algorithm')\n",
    "sys.path.append(lib_path)\n",
    "\n",
    "import Algorithm.GCC as gcc"
   ]
  }
 ],
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